Polaris Intelligence | AI Enablement & AI Product Strategy Consulting, Security Built In | San Diego, CA
AI Enablement · Product Strategy · San Diego, CA
Find true north in AI_
Accessing AI is easy. Deploying it effectively is not.
Polaris Intelligence is an AI Enablement and Product Strategy
consultancy based in San Diego. We guide your workforce, workflows, and products across five core dimensions:
Capability, Process, Infrastructure, Governance, and Strategy.
Forged in cybersecurity, we design and evaluate systems for safety, security,
and performance so you can ship fast and scale with confidence.
NSALAWRENCE LIVERMOREINSTITUTE FOR DEFENSE ANALYSESBISHOP FOXNUIX
By the numbers
Deep expertise, uncommon focus.
0+Years of AI & security expertise
0Dimensions of AI enablement
0Elite institutions behind our expertise
0%Engagements led by experts
The method
Orient. Build. Harden.
Access alone doesn’t create adoption. Every engagement follows a course
from your current state to an organization that deploys AI effectively and can defend how it operates.
01
Orient
// find true north
We baseline your organization across all five dimensions: capability, process, infrastructure,
governance, and strategy. You get an honest picture of where AI can move your business, where it
can hurt it, and a roadmap that sequences quick wins ahead of long-term transformation.
02
Build
// ship what matters
We enable your people and embed AI where the work actually happens: training designed for each
role, internal champions who keep momentum, workflows wired into daily operations, and the data
foundations to support them. Adoption is the metric, not installation.
03
Harden
// prove it holds
We make it safe to scale: governance and oversight policies with clear ownership, model
evaluation for bias and performance, and the security review our national security pedigree
demands. If it can break, you find out from us, not from your customers.
The framework
Five dimensions of AI enablement.
AI enablement fails when it’s treated as a tool rollout. We work all five dimensions
together, with security woven through each one, so adoption actually sticks. Click any dimension
to see what’s inside.
Capability Building
[01]
We build the skills, confidence, and culture that turns AI into high value capabilities.
Training designed for each role, from executives to analysts to engineers
Cultural updates that turn skeptics into practitioners
Safe habits taught alongside the tools, so security becomes muscle memory
Details
Process Integration
[02]
AI pays off when it lives inside your workflows, not beside them.
Identify which processes are strong AI candidates, and which are not
Embed AI into daily operations rather than bolting it on
Change management that drives adoption you can measure and sustain
Details
Technical & Infrastructure Readiness
[03]
Enablement stalls without foundations. We make sure your data, platforms, and controls are ready for the load.
Data quality, access, and governance that make AI outputs trustworthy
Tool and platform selection, with honest build vs buy guidance
Security, compliance, and access controls designed from the start
Details
Governance & Risk
[04]
Adopt AI with confidence, backed by policies, guardrails, and reporting your board, customers, and regulators can trust.
Manage bias, hallucination, IP, and privacy risk before it reaches production
Model evaluation for bias and performance across LLMs and classifiers
Independent validation of vendor and acquisition AI claims
Details
Strategy & Prioritization
[05]
A plan that connects AI to the metrics your business already cares about, not to the hype cycle.
Map AI opportunities to business metrics and measurable outcomes
Sequence quick wins against long-term transformation
ROI measurement frameworks that prove what’s working and kill what isn’t
Clear reporting for technical and executive audiences alike
Details
How we engage
Scoped engagements, tied to the framework.
Our method is how we work. The five dimensions are what we assess. Engagements are
what you hire: scoped, outcome driven, and mapped to the dimensions they advance. Click any
engagement to see what’s inside.
AI Enablement Assessment
[01]
The natural starting point: a structured baseline of your organization with a prioritized roadmap.
Interviews, artifact review, and hands-on evaluation across all five dimensions
A scored baseline that shows where adoption will stick and where it will stall
A sequenced roadmap: quick wins first, transformation second
All five dimensions
Details
AI Governance Program
[02]
Stand up the policies, oversight, and reporting that let you adopt AI with confidence.
Acceptable use, oversight, and escalation policies with clear ownership
Reporting standards that make AI activity visible and auditable
Documentation of how AI is controlled, ready for boards and regulators
Governance & RiskStrategy & Prioritization
Details
Workflow Integration Sprint
[03]
Pick a process, embed AI into it, and prove the value. Adoption measured, not assumed.
Select a high value process and wire AI into daily operations
Train the people who run it and build the habits that make it stick
Measure adoption and ROI so the next sprint funds itself
Process IntegrationCapability Building
Details
Data Readiness & Analysis
[04]
Find out whether your data can support what you want AI to do, then put it to work.
Audit data quality, access, and governance ahead of AI investment
Platform and pipeline improvements to make analysis fast
Interpretation for executives: what the data says and what to do next
Technical ReadinessStrategy & Prioritization
Details
The practice
AI Product Strategy & Integration.
Enablement gets your organization ready to use AI. Product strategy gets AI into
the product itself: deciding what to build, proving it can actually ship, and shipping it
responsibly. We’re technical enough not to get oversold by vendors, and product-minded enough
to keep every AI feature tied to real value.
Product Vision & Roadmap
[01]
Decide which AI capabilities become features, in what sequence, and why.
Tie every AI feature to a business outcome before it enters the roadmap
Prioritization and stakeholder alignment across executives, engineering, and design
Sequencing that balances quick wins against platform bets
The discipline to say no to low value AI features
Details
Technical Feasibility
[02]
Strategic ambition meets technical reality: what can actually ship, safely, on a timeline?
Assess what current models, data, and infrastructure can deliver, at what cost, latency, and reliability
Model selection with clear eyes: build, buy, fine tune, or call an API
Understand inference costs and scaling behavior before you commit
Enough technical depth that no vendor oversells you
Details
Data Strategy
[03]
AI features live or die on data. We find out early whether yours can support the feature you want.
Audit data quality, volume, access, and rights before the feature is promised
Data governance and pipeline design that serve the product, not just the dashboard
Privacy and compliance awareness, especially where customer data is involved
Honest calls on data gaps and the fastest path to closing them
Details
Risk, Ethics & Governance
[04]
The risks that kill AI products rarely show up before launch. We go looking for them on purpose.
Surface bias, hallucination, IP, safety, and regulatory exposure before your customers do
AI risk frameworks and regulatory literacy, from the EU AI Act to sector rules
A red team mindset from our security pedigree: we attack the product before the world does
Launch criteria your executives can sign with confidence
Details
Model Evaluation Audit
[ENGAGEMENT]
An independent audit of how your models actually behave: bias, performance, and failure modes, found before your customers or auditors find them.
Automated bias and performance evaluation across LLMs and classifiers
Benchmarks against the tasks that matter to your product, not generic leaderboards
Independent validation of vendor and acquisition AI claims
Findings your engineers can fix and your executives can act on
Polaris Intelligence is an AI Enablement consultancy based in San Diego, California
with cybersecurity in its DNA.
Our expertise was forged in institutions where getting it wrong isn’t an option: the
NSA, national laboratories, and elite security firms. It was refined building the
data and AI platforms behind modern investigative and attack surface products.
That pedigree is why our enablement is different. Anyone can run an AI training day. We make
adoption stick across all five dimensions: people who are trained,
processes that adopt, platforms that are ready, governance that holds, and strategy that pays off.
Why teams choose Polaris
Serious rigor: practices shaped by national security and offensive security work
Builders, not slideware: strategy stays connected to working production code
Independent & vendor-neutral: recommendations driven by your outcomes, not resale margins
Based in San Diego: working with clients nationwide
Michael Karres
Founder & Principal Consultant
Michael spent more than two decades building and securing systems where failure
was not an option: eight years at the NSA across red team and forensics work, intelligence community
research at IDA, and principal engineering roles at Bishop Fox and Nuix. He founded Polaris Intelligence
to bring that standard of rigor to businesses adopting AI.
✦
Get started
Chart your course.
Whether you’re training your first teams, wiring AI into real processes, or proving
your systems are safe to ship, it all starts with a conversation about where you are on the journey.
